融合CT和MRI数据构建颌面部3D数字化模型

Construction of the 3D digital models of maxillofacial region based on CT and MRI images fusion

目的探索通过精确、高效配准CT和MRI数据,建立包含颌面部主要肌肉和骨骼组织的3D数字化模型。方法对1名志愿者行颌面部螺旋CT及MRI扫描,数据分别导入Mimics 15.0中,在3个视窗,即横断面、矢状面、冠状面,分别调整两种数据至同一断层,以树脂球为配准点,至少5个点配准两组数据。再利用CT分割并重建颌骨和面部皮肤3D模型,利用MRI分割重建面部主要肌肉3D模型。结果建立了包含3对咀嚼肌、12对表情肌、面部皮肤与颌骨组织的3D模型,配准模型具有较高的一致性和相对位置精度。结论实现了CT与MRI两种影像学数据的配准融合。

Objective To explore an efficient method for the establishment of three?dimensional(3?D)digital models of maxillofacial region including muscle tissue based on CT and MRI images fusion on a personal computer,integration of CT and MRI data,and provide accurate3D model for biomechanical analysis.Methods A male volunteer was scanned on maxillofacial region by spiral CT and MRI.Two kinds of data obtained were imported into Mimics15.In the three sections,namely the transverse,sagittal,coronal sections,two kinds of data were adjusted to the same anatomical layers.The most obvious anatomical points on each layer were selected as registration points.Then,the multi?points registration was implemented for data fusion.Then the bone and facial skin were segmented and3D reconstructed using CT data,the main facial muscles were segmented and3D reconstructed using MRI data.Results The3D model including3pairs of masticatory muscles,12pairs of facial expression muscles,facial skin and jaw tissues were established.Conclusion The efficient registration and fusion of CT and MRI datas were accomplished.Moreover,this method can be used for further segmentation and reconstruction of other important structures in craniofacial area,such skin,blood vessel,fat,lymph node and the brain tissues.